Fast Null Linear Discriminant Analysis

Version (2.05 KB) by Alok
This is the fast implementation of Null LDA method. [W,CPU_TIME]=FNLDA(Data,ClassLabel)


Updated 29 Mar 2012

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Null linear discriminant analysis (LDA) method is a popular dimensionality reduction method for solving small sample size problem. The implementation of nullLDA method is, however, computationally very expensive. This implementation is the computationally efficient way of computing null LDA transform of a data matrix of size N x Dim where Dim >> N. Computational complexity of FNLDA method is around Dim*N^2 flops.

Cite As

Alok (2023). Fast Null Linear Discriminant Analysis (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2010a
Compatible with any release
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